Overview
The Data Analytics programme at ESSEC Business School - Paris aims at preparing the next generation of experts in data analytics, equipped with a modern skill set for the analysis of high-dimensional complex data and for the quantification of emerging risks.
Features
- These skills are paramount to the evaluation and the execution of high quality decision making.
- With the guidance of ESSEC faculty at the forefront of research in Data Analytics and with the support of an extensive network of international collaborators, students are prepared for outstanding careers in academia, in public organizations or in data-intensive industries.
- Students and faculty in this programme hold themselves to the highest standards of integrity and scholarship, and are deeply committed to fostering an environment that encourages creativity, diversity and collegiality.
Programme Structure
Courses include:
- Core Econometrics And Statistics
- Big Data Analytics
- Stochastic Modeling
- Machine Learning
- Optimization
- Python/r Programming
- Decision Theory
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Campus Location
- Cergy-Pontoise, France
Disciplines
Data AnalyticsWhat students do after studying
Academic requirements
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Fill in the online application form indicating university degrees and grades, including a statement of purpose and your Curriculum Vitae
- Upload your official transcripts
- Upload certified copies of all your grades and university diplomas unless award of the degree is specified on your final official transcript
- Upload 3 letters of recommendation to be completed by faculty or research scholars (available in the Application online procedure). Please ask you referees to check their spam/junk folder if they do not receive the recommendation request from ESSEC
- Provide a high GMAT or GRE score (test taken within the past five years). Last year's cohort had an average GMAT of 700. The ETS code center for the ESSEC PhD Programme is X 6R-91-50 (GMAT) and 0839 (GRE)
- The programme being in English, applicants whose native language is not English are required to take the TOEFL, for which the PhD programme code is 0045. IELTS is also accepted.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at ESSEC Business School - Paris and/or in France, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents10000 EUR / year≈ 10000 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals5000 EUR / year≈ 5000 EUR / year
Additional Details
First 2 years
- EU: 5000 EUR / year
- Non-EU: 10 000 EUR / year
After the first 2 years
- In residence students: 2400 EUR / year
Living costs
Cergy-Pontoise
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find PhD's scholarship opportunities for Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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